PharmiTech: Addressing Polypharmacy Challenges through AI-Driven Solutions

被引:0
|
作者
Martins, Andreia [1 ]
Vitorino, Joao [1 ]
Maia, Eva [1 ]
Praca, Isabel [1 ]
机构
[1] Polytech Porto ISEP IPP, Sch Engn, Res Grp Intelligent Engn & Comp Adv Innovat & Dev, P-4249015 Porto, Portugal
来源
APPLIED SCIENCES-BASEL | 2024年 / 14卷 / 19期
关键词
clinical decision support system; artificial intelligence; machine learning; herb-drug interactions; drug abuse detection; CLINICAL DECISION-SUPPORT; DRUG INTERACTIONS;
D O I
10.3390/app14198838
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Due to the rising prevalence of polypharmacy, pharmacists face more challenges in ensuring patient safety and optimizing medication management. This paper introduces PharmiTech, a Clinical Decision Support System that leverages Artificial Intelligence (AI) to tackle the growing need for efficient tools to assist pharmacists. The primary focus of the tool is to identify possible herb-drug interactions and instances of prescription drug abuse, combining an expert knowledge base with a supervised classification model and providing user-friendly alerts to pharmacists. To demonstrate the capabilities of the developed tool, this paper presents its functionalities through a case study involving simulated scenarios using de-identified information to maintain the confidentiality of real patients' personal data. Tested in Portuguese pharmacies, PharmiTech enhances pharmaceutical care, safeguards patient data, and aids pharmacists in informed decision-making, making it a valuable resource for healthcare professionals.
引用
收藏
页数:15
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